Robust object matching for persistent tracking with heterogeneous features

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 5, 2007, Pages 824-839

  Guo, Yanlin ^a   Hsu, Steve ^b   Sawhney, Harpreet S ^a   Kumar, Rakesh ^a   Shan, Ying ^a  

^a SARNOFF CORPORATION   (United States)

^b Canesta Inc   (United States)

Author keywords

Feature matching; Image alignment and matching; Object matching; Video object tracking and reacquisition

Indexed keywords

CAMERAS; IMAGE MATCHING; IMAGE QUALITY; LIGHTING; OPTICAL RESOLVING POWER;

FEATURE MATCHING; HETEROGENEOUS FEATURES; IMAGE ALIGNMENT; OBJECT MATCHING; VIDEO OBJECT TRACKING;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; MOTION; MOTOR VEHICLE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MOTION; MOTOR VEHICLES; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 34047215860     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1052     Document Type: Article

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